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Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

Cross-subject variability problems hinder practical usages of Brain-Computer Interfaces. Recently, deep learning has been introduced into the BCI community due to its better generalization and feature representation abilities. However, most studies currently only have validated deep learning models...

Полное описание

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Библиографические подробности
Главные авторы: Lichao Xu, Minpeng Xu, Yufeng Ke, Xingwei An, Shuang Liu, Dong Ming
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2020-04-01
Серии:Frontiers in Human Neuroscience
Предметы:
EEG
Online-ссылка:https://www.frontiersin.org/article/10.3389/fnhum.2020.00103/full
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